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Displaying 31 - 45 of 68 news clips related to this topic.

Smithsonian Magazine

Emily Matchar of Smithsonian details research out of the Media Lab, which seeks to help both autonomous and standard vehicles avoid obstacles in heavy fog conditions. “You’d see the road in front of you as if there was no fog,” says graduate student and lead researcher Guy Satat. “[O]r the car would create warning messages that there’s an object in front of you.”


MIT Media Lab researchers have created a system that can detect obstacles through fog that are not visible to the human eye, writes Darren Weaver for CNBC. “The goal is to integrate the technology into self-driving cars so that even in bad weather, the vehicles can avoid obstacles,” explains Warren.  


MIT researchers have developed a new imaging system that could allow autonomous vehicles to see through dense fog, writes Andrew Liszewski of Gizmodo. The laser-based system, which used a new processing algorithm, was able “to clearly see objects 21 centimeters further away than human eyes could discern,” Liszewski writes.  


MIT researchers have “discovered a slight difference in how humans produce the building blocks of DNA compared to how bacteria does it,” writes Fiona McMillan for Forbes. The comparison of human and bacterial enzymes “bodes well for the possible development of new antibiotics,” explains McMillan.

BBC News

Graduate student Achuta Kadambi speaks with the BBC’s Gareth Mitchell about the new depth sensors he and his colleagues developed that could eventually be used in self-driving cars. “This new approach is able to obtain very high-quality positioning of objects that surround a robot,” Kadambi explains. 

Boston Globe

Using video to processes shadows, MIT researchers have developed an algorithm that can see around corners, writes Alyssa Meyers for The Boston Globe. “When you first think about this, you might think it’s crazy or impossible, but we’ve shown that it’s not if you can understand the physics of how light propagates,” says lead author and MIT graduate Katie Bouman.


CSAIL researchers have developed a system that detects objects and people hidden around blind corners, writes Anthony Cuthbertson for Newsweek. “We show that walls and other obstructions with edges can be exploited as naturally occurring ‘cameras’ that reveal the hidden scenes beyond them,” says lead author and MIT graduate Katherine Bouman.

New Scientist

MIT researchers have developed a new system that can spot moving objects hidden from view by corners, reports Douglas Heaven for New Scientist. “A lot of our work involves finding hidden signals you wouldn’t think would be there,” explains lead author and MIT graduate Katie Bouman. 


Wired reporter Matt Simon writes that MIT researchers have developed a new system that analyzes the light at the edges of walls to see around corners. Simon notes that the technology could be used to improve self-driving cars, autonomous wheelchairs, health care robots and more.  

Boston Magazine

Boston Magazine reporter Jamie Ducharme writes that MIT researchers have developed a non-invasive technique for assessing cells, which could eventually be used to help diagnose diseases. The researchers are “working with doctors at Massachusetts General Hospital, who hope to use the technique to study diseases such as cancer and asthma.”

The Verge

CSAIL researchers have developed a new system that allows camera-equipped drones to maintain certain framing parameters of an aerial shot, Sean O’Kane for The Verge. O’Kane explains that the system allows directors to define basic parameters of a shot and to alter the “settings on the fly and the drone will adjust how it’s filming accordingly.”

BBC News

Two teams from MIT received a 2017 Wellcome Image Award, “which celebrates colourful and captivating scientific images - from photography and illustration, to super-resolution microscopy and medical scans,” writes the BBC.

The Guardian

Two MIT research teams from the Department of Biological Engineering and IMES were recipients of the 2017 Wellcome Image Awards, which “reward and showcase the best in science image making,” reports Nicola Davis and Eric Hilaire for The Guardian.

The Wall Street Journal

Daniel Akst of The Wall Street Journal writes that by bouncing electromagnetic waves off of pages, MIT researchers have developed a way to read closed books. The system could potentially be used also be used to count stacks of money and detect counterfeit currency, Akst explains. 

The Wall Street Journal

Prof. Ramesh Raskar has been awarded the Lemelson-MIT prize for his “trailblazing work which includes the co-invention of an ultra-fast imaging camera that can see around corners, low-cost eye-care solutions and a camera that enables users to read the first few pages of a book without opening the cover,” writes Krishna Pokharel for The Wall Street Journal